Development of an Automated Artificial Neural Network for Numerical Optimization
Development of an Automated Artificial Neural Network for Numerical Optimization
- New search for: Frommann, Olaf
- New search for: Frommann, Olaf
Numerical Optimization requires a large amount of intermediate computations for the design data sets suggested by any optimization strategy. The results of these computations are necessary in order to find directions to the optimum. Nevertheless, most results are useless from the quality standpoint of view. Thus, it is desirable to avoid these, which would save a lot of time and money. It will be shown that the application of Artificial Neural Networks can serve in this sense and result in computational savings of about 77%. The problem in this context, i.e. the choice of an appropriate network topology, is discussed and solutions, resulting from extensive numerical investigations, are presented. Finally, the application to a challenging multimodal optimization problem, which serves as a surrogate for multidisciplinary optimization with comparable multimodal solution spaces, demonstrates the power of this approach.
Document information
Development of an Automated Artificial Neural Network for Numerical Optimization
2009
10 Seiten
Conference paper
English
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